Lerner, Michael. "Local power: Understanding the adoption and design of county wind energy regulation." Review of Policy Research. Forthcoming.


This version: 5 August 2021
Permanent link to replication archive: https://doi.org/10.7910/DVN/ZXHGVG

1. Contents of the replication file

- Read Me (README.txt)
- Codebook (codebook.pdf)
- Plot data file (plot_data_3Aug2021)
- Plot preparation script (plot_script.R)
– Analysis data file (analysis_data_3Aug2021)
- Analysis script (analysis_script.do)
– Regression results (Results/main_3Aug21)
– Regression results (marginal effects) (Results/main_margins_3Aug21)
– Regression results (robustness checks) (Results/robustness_3Aug21)
– Regression results (robustness checks, sensitivity analysis for counties without websites) (Results/Sensitivity_Fig_D1)

[Unzip Data.zip]
– County shapefiles (Data/County shapefiles) – from U.S. Census Bureau
– Wind potential (Data/Wind potential) – from Zayas et al. (2015) via windNavigator(R)
– Wind turbines (Data/Wind farms) – from U.S. Wind Turbine Database v.3.0.1 (Hoen et al. 2020) 



2. Software and dependencies

The data file and figures were created in R version 4.0.3 (2020-10-10) on macOS Big Sur with Intel Core i9 CPU @ 2.4 GHz 8-core with 32 GB RAM.

The analysis was conducted in Stata/SE 16 on Windows 10, 64 bit with Intel Xeon Gold 6248R CPU @ 3.00 GHz 2-core with 12 GB RAM.

All relevant libraries are loaded at the beginning of the R and Stata scripts

R libraries

tidyverse_1.3.1	readxl_1.3.1	haven_2.4.1	units_0.7-2
pbapply_1.4-3	ggplot2_3.3.4	grid_4.0.3	gtable_0.3.0
sf_0.9-8		maps_3.3.0	spdep_1.1-8	sensemakr_0.1.3	
xtable_1.8-4

Stata libraries

estout_20210523	mimrgns_20210228


